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Meta Research Jobs in Seattle, WA (NOW HIRING)

Meta

AI Research Engineer

Seattle, WA

$183K/yr

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded directly in Facebook's ecosystem, helping ...

Meta

AI Research Engineer

Bellevue, WA

$183K/yr

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded directly in Facebook's ecosystem, helping ...

Meta

Research Scientist, Optical Systems

Redmond, WA

$122K/yr

Meta Reality Labs is seeking a Research Scientist, with experience in waveguide fabrication and process development, to advance optical systems research for next-generation augmented reality devices ...

Meta

Display Research Scientist

Redmond, WA

$154K/yr

Reality Labs focuses on delivering Meta's roadmap through creating advanced AI enabled AR devices ... Display Research Scientist Responsibilities: * Achieve breakthroughs in future AI enabled AR ...

Meta

Display Research Scientist

Redmond, WA · On-site

$154K - $217K/yr

Reality Labs focuses on delivering Meta's roadmap through creating advanced AI enabled AR devices ... This role is focused on long term research typically aiming for a 5+ year horizon for potential ...

Meta

Research Engineer, Monetization AI

Bellevue, WA

$183K/yr

By consistently integrating cutting-edge AI/ML/RecSys advancements, we help Meta's products achieve ... Research Engineer, Monetization AI Responsibilities: * Develop and implement large-scale model ...

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How much do meta research jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for meta research in Seattle, WA is $36.24, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $46.57 per hour, depending on experience, location, and employer.

What is a meta research?

A Meta Research job involves studying the research process itself, analyzing methodologies, biases, reproducibility, and overall scientific practices to improve the quality and reliability of research. Meta researchers assess existing studies, identify patterns, and suggest improvements for greater transparency and accuracy. They often work in academia, industry, or policy-making to enhance evidence-based decision-making.

What are the key skills and qualifications needed to thrive in meta research?

To thrive in Meta Research, you need strong skills in research methodology, data analysis, and a solid academic background in fields such as epidemiology, statistics, or the social sciences. Familiarity with statistical software (such as R or SPSS), systematic review tools, and experience publishing in peer-reviewed journals are commonly expected. Critical thinking, attention to detail, and effective written and verbal communication are vital soft skills for success. These competencies enable accurate evaluation and synthesis of scientific studies, ensuring high-quality evidence to inform best practices and policy decisions.

What are the typical challenges faced by professionals working in meta research?

Professionals in Meta Research often encounter challenges such as synthesizing large volumes of complex and sometimes conflicting scientific literature, ensuring data quality across diverse studies, and maintaining objectivity throughout the review process. Additionally, staying updated with rapidly evolving research methodologies and publication standards can be demanding. Working collaboratively with multidisciplinary teams and effectively communicating nuanced findings to both technical and non-technical audiences are also key aspects of the role. These challenges make the work dynamic but also intellectually rewarding for those passionate about advancing scientific knowledge and improving research integrity.

How to become a Meta Research scientist?

To become a Meta Research scientist, candidates typically need a strong background in computer science, machine learning, or related fields, often requiring a Ph.D. or equivalent experience. Relevant skills include programming in Python or C++, experience with data analysis, and familiarity with research tools and frameworks. Building a strong research portfolio and publishing in reputable conferences can also improve chances of selection.

What does a Meta Researcher do?

A Meta Researcher conducts studies and analyzes data related to social media platforms, user behavior, and technology trends to inform product development and strategy. They often use data analysis tools, statistical methods, and research methodologies to generate insights. The role requires strong analytical skills and familiarity with research software and data privacy standards.

What are the most commonly searched types of Meta Research jobs in Seattle, WA?

The most popular types of Meta Research jobs in Seattle, WA are:

What are popular job titles related to Meta Research jobs in Seattle, WA?

For Meta Research jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Meta Research jobs in Seattle, WA look for?

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Meta Research jobs near you
Infographic showing various Meta Research job openings in Seattle, WA as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 77% In-person, 8% Hybrid, and 15% Remote job distribution, with an average salary of $75,389 per year, or $36.2 per hour.

Research Scientist,Meta Recommendation System Core modeling

Meta

Bellevue, WA • On-site

$154K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

The Meta Recommendation Core Modeling team is a central group within Meta focused on building and advancing the core machine learning models that power recommendations across Meta’s products. Our team (MRS Representation Learning)’s mission is to invest in Cross-Meta (ads+organic) joint modeling technologies and unified tech stack to build omni user representation and foundation models to improve Meta’s recommendation systems and maximize business and user value, which is a critical stepping stone in the Meta Recommendation System vision. The team is building advanced recommendation ML models through redesigning model architectures and developing data learning technology at a state-of-the-art level to support a massive user base with accurate predictions and high queries-per-second (QPS) performance.
Research Scientist,Meta Recommendation System Core modeling Responsibilities:
  • Conduct original research in a recommendation/ranking system
  • Design and execute experiments to develop and validate novel ranking modeling techniques, training objectives, and evaluation methodologies
  • Develop scalable approaches to language model pretraining, fine-tuning, and instruction following that advance the state of the art
  • Analyze model behavior, failure modes, and generalization properties to generate actionable research insights
  • Translate research findings into high-quality publications submitted to top-tier venues such as ACL, EMNLP, NeurIPS, ICML, and ICLR
  • Collaborate with cross-functional partners including engineers, product managers, and data scientists to apply language research to Meta's AI systems and products
  • Contribute to open-source releases and reproducible research artifacts that benefit the broader NLP research community
  • Mentor other researchers and engineers on the team, sharing technical expertise and providing feedback on research direction and execution
  • Identify and drive new research directions aligned with the team's long-term goals, proactively scoping projects and building stakeholder alignment
  • Use AI-augmented workflows to expand research productivity, accelerate experimentation, and explore cross-disciplinary problem spaces

Minimum Qualifications:
  • 1+ years of research or industry experience in natural language processing, computational linguistics, or machine learning applied to language tasks
  • Experience developing and publishing novel approaches in NLP or language modeling at peer-reviewed venues such as ACL, EMNLP, NeurIPS, ICML, or ICLR
  • Experience designing, implementing, and evaluating large-scale language models or related deep learning systems using frameworks such as PyTorch
  • Experience communicating research findings and technical trade-offs in writing to both research and non-research audiences
  • Experience working collaboratively on research projects with cross-functional teams

Preferred Qualifications:
  • Experience mentoring other researchers and contributing to the growth of a research team or community
  • Track record of open-source contributions or reproducible research artifacts in the NLP or machine learning community
  • Experience translating foundational research into production-scale systems or product applications
  • Research experience in language model alignment, reasoning, grounding, multilingual NLP, or efficient training and inference methods for large language models

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,000/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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